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  2. U.S. Army universal camouflage trials - Wikipedia

    en.wikipedia.org/wiki/U.S._Army_universal...

    The U.S. Army universal camouflage trials took place from 2002 to 2004 with the goal of creating a single pattern that would provide adequate concealment in all environments. Four different patterns in a total of 13 variations were tested during the evaluation: three woodland patterns, three desert, three urban, three desert/urban, and one ...

  3. Universal Camouflage Pattern - Wikipedia

    en.wikipedia.org/wiki/Universal_Camouflage_Pattern

    The Universal Camouflage Pattern ( UCP) is a digital military camouflage pattern formerly used by the United States Army in their Army Combat Uniform. [5] [6] Technicians at Natick Soldier Systems Center attempted to devise a uniform pattern that would mask the wearer in all seasonal environments. [7] Laboratory and field tests from 2003 to ...

  4. United Communist Party - Wikipedia

    en.wikipedia.org/wiki/United_Communist_Party

    The UCP aspires for unity among socialist forces in Russia. In 2018 another left-wing Russian party, New Communist Movement, merged with the UCP. Criticism. Political analyst Sean Guillory wrote about the radical Left in Russia on the eve of the Russian presidential election in May 2018.

  5. Visegrád Group - Wikipedia

    en.wikipedia.org/wiki/Visegrád_Group

    The Visegrád Group (also known as the Visegrád Four or the V4) is a cultural and political alliance of four Central European countries: the Czech Republic, Hungary, Poland, and Slovakia. [3] The alliance aims to advance co-operation in military, economic, cultural and energy affairs, and to further their integration with the EU. [4]

  6. Uniform Customs and Practice for Documentary Credits

    en.wikipedia.org/wiki/Uniform_Customs_and...

    The Uniform Customs and Practice for Documentary Credits (UCP) is a set of rules on the issuance and use of letters of credit. The UCP is utilized by bankers and commercial parties in more than 175 countries in trade finance. Some 11-15% of international trade utilizes letters of credit, totaling over a trillion dollars (US) each year.

  7. Member states of NATO - Wikipedia

    en.wikipedia.org/wiki/Member_states_of_NATO

    Founding members and enlargement. NATO was established on 4 April 1949 via the signing of the North Atlantic Treaty (Washington Treaty). The 12 founding members of the Alliance were: Belgium, Canada, Denmark, France, Iceland, Italy, Luxembourg, the Netherlands, Norway, Portugal, the United Kingdom, and the United States. [4]

  8. List of U.S. security clearance terms - Wikipedia

    en.wikipedia.org/wiki/List_of_U.S._security...

    T3 or T3R - Tier 3 or Tier 3 Reinvestigation, now replace all NACLC. T5 and T5R - Tier 5 or Tier 5 Reinvestigation, now replace SSBI and SBPR respectively. Yankee White – An investigation required for personnel working with the President and Vice President of the United States. Obtaining such clearance requires, in part, an SSBI.

  9. List of countries by GDP (PPP) per capita - Wikipedia

    en.wikipedia.org/wiki/List_of_countries_by_GDP...

    A country's gross domestic product (GDP) at purchasing power parity (PPP) per capita is the PPP value of all final goods and services produced within an economy in a given year, divided by the average (or mid-year) population for the same year. This is similar to nominal GDP per capita but adjusted for the cost of living in each country.

  10. Catholic University of Portugal - Wikipedia

    en.wikipedia.org/wiki/Catholic_University_of...

    The Catholic University of Portugal (Portuguese: Universidade Católica Portuguesa, pronounced [univɨɾsiˈðad(ɨ) kɐˈtɔlikɐ puɾtuˈɣezɐ]), also referred to as Católica or UCP for short, is a concordat university (non-state-run university with concordat status) headquartered in Lisbon and with four locations: Lisbon, Braga, Porto and Viseu.

  11. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.